EvoDAG: A semantic Genetic Programming Python library

@article{Graff2016EvoDAGAS,
  title={EvoDAG: A semantic Genetic Programming Python library},
  author={Mario Graff and Eric Sadit Tellez and Sabino Miranda-Jimx00E9nez and Hugo Jair Escalante},
  journal={2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)},
  year={2016},
  pages={1-6}
}
Genetic Programming (GP) is an evolutionary algorithm that has received a lot of attention lately due to its success in solving hard real-world problems. Lately, there has been considerable interest in GP's community to develop semantic genetic operators, i.e., operators that work on the phenotype. In this contribution, we describe EvoDAG (Evolving Directed Acyclic Graph) which is a Python library that implements a steady-state semantic Genetic Programming with tournament selection using an… CONTINUE READING

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